Deep Sync introduces enhanced lookalike audience building features for social media campaigns

One of the most prominent providers of omnichannel identity and data solutions, Deep Sync, has introduced an artificial intelligence-driven lookalike audience builder that is integrated into its Deep Sync One platform.

Deep Sync, a prominent provider of omnichannel identity and data solutions, has recently introduced a new lookalike audience builder that is incorporated into its Deep Sync One platform and powered by artificial intelligence. Now, customers are able to effortlessly employ insights derived from their existing customer data in order to uncover new prospect audiences that possess comparable characteristics.

Lookalike Audiences, which are offered by Deep Sync One, make use of artificial intelligence and machine learning to assist clients in using their own first-party customer data as a seed for modelling. This effectively provides a valuable tool for scaling advertising campaigns while preserving audience quality. Utilising this method, marketers are able to obtain better outcomes by concentrating on individuals who are more inclined to interact with their brand, which ultimately results in marketing campaigns that are more successful. By using lookalike audience modelling, marketers are able to locate new consumers with characteristics that are comparable to those of their existing top customers in a more effective manner.

Across a variety of media, it is becoming increasingly challenging for marketers to construct and activate a single audience that is capable of significant performance. The lookalike audiences that are accessible with Deep Sync One make it simple to communicate with groups of people that are identical to one another across all social media platforms. We couldn’t be more thrilled to introduce this brand-new feature to our clientele. This is Pieter De Temmerman, the Chief Executive Officer of Deep Sync.

The approach that Deep Sync takes to lookalike modelling makes use of artificial intelligence and machine learning to produce consumer profiles that are demographically oriented. These profiles allow for matches to be made between the first-party data of users and Deep Sync’s fully deterministic identity network. These profiles provide information to new prospect audiences that have demographic characteristics that are comparable to those of the marketer’s existing customers and are located to the closest geographic distance.

All of these lookalike audiences are quite precise because to the modelling capabilities of Deep Sync, which are based on offline data. These lookalike audiences make use of Deep Sync’s nationwide consumer dataset, which has more than 260 million records, by using Deep Sync’s data assets, which include consumers, residents, businesses, students, new movers, new homeowners, and other types of individuals. This privacy-safe dataset is fully compliant with all privacy standards and regulations in the United States.

Users have the ability to tailor their lookalike audiences to meet their individual requirements by modifying the degree of similarity between them and the size of the audience audience. Following the configuration of the audiences, they are able to be given through direct connections to Meta and TikTok, in addition to other prominent social destinations, through the relationship between Deep Sync and LiveRamp.